Fukuma Ryohei

フクマリョウヘイ | Fukuma Ryohei

Affiliation and department：

Research field (1)： Neuroscience - general

Research theme for competitive and other funds (4)：

2022 - 2024 皮質脳波の非線形ダイナミクスを用いたリアルタイム脳情報解読
2020 - 2023 脳深部刺激術におけるclosed-loop systemの応用と脳機能解析
2020 - 2023 Identifying the electrical fingerprint of epileptic network
2020 - 2022 Improvement of decoding accuracy of visual stimulus using deep learning and ECoG big data

Papers (62)：

Hikaru Yokoyama, Naotsugu Kaneko, Noboru Usuda, Tatsuya Kato, Hui Ming Khoo, Ryohei Fukuma, Satoru Oshino, Naoki Tani, Haruhiko Kishima, Takufumi Yanagisawa, et al. M/EEG source localization for both subcortical and cortical sources using a convolutional neural network with a realistic head conductivity model. APL bioengineering. 2024. 8. 4. 046104-046104
Takamitsu Iwata, Takufumi Yanagisawa, Yuji Ikegaya, Jonathan Smallwood, Ryohei Fukuma, Satoru Oshino, Naoki Tani, Hui Ming Khoo, Haruhiko Kishima. Hippocampal sharp-wave ripples correlate with periods of naturally occurring self-generated thoughts in humans. Nature communications. 2024. 15. 1. 4078-4078
Ryohei Fukuma, Kei Majima, Yoshinobu Kawahara, Okito Yamashita, Yoshiyuki Shiraishi, Haruhiko Kishima, Takufumi Yanagisawa. Fast, accurate, and interpretable decoding of electrocorticographic signals using dynamic mode decomposition. Communications biology. 2024. 7. 1. 595-595
Yuya Ikegawa, Ryohei Fukuma, Hidenori Sugano, Satoru Oshino, Naoki Tani, Kentaro Tamura, Yasushi Iimura, Hiroharu Suzuki, Shota Yamamoto, Yuya Fujita, et al. Text and image generation from intracranial electroencephalography using an embedding space for text and images. Journal of neural engineering. 2024
Yusuke Watanabe, Yuki Miyazaki, Masahiro Hata, Ryohei Fukuma, Yasunori Aoki, Hiroaki Kazui, Toshihiko Araki, Daiki Taomoto, Yuto Satake, Takashi Suehiro, et al. A deep learning model for the detection of various dementia and MCI pathologies based on resting-state electroencephalography data: A retrospective multicentre study. Neural Networks. 2024. 171. 242-250

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MISC (50)：

柳澤琢史, 畑真弘, 渡邊裕亮, 福間良平, 青木保典, 數井裕光, 宮崎友希, 石井良平, 吉山顕次, 貴島晴彦, et al. 認知症研究の最前線安静時脳波による認知症の自動診断. 臨床神経生理学. 2023. 51. 5. 438-438
柳澤琢史, 柳澤琢史, 畑真弘, 渡邊裕亮, 福間良平, 福間良平, 青木保典, 數井裕光, 宮崎友希, 石井良平, et al. 安静時脳波による認知症の自動診断. 臨床神経生理学(Web). 2023. 51. 5
貴島晴彦, 渡邊裕亮, 畑真弘, 福間良平, 吉山顕次, 原田達也, 池田学, 柳澤琢史, 柳澤琢史. 脳波を用いた認知症の人工知能診断. 日本老年脳神経外科学会プログラム・抄録集. 2022. 35th (CD-ROM)
栁澤琢史, 福間良平, 西本伸志, 菅野秀宣, 田村健太郎, 飯村康司, 山本祥太, 押野悟, 谷直樹, 神谷之康, et al. 想起型Brain-Computer Interfaceの開発-Development of imagery-based Brain-Computer Interface-第61回日本定位・機能神経外科学会優秀演題論文. 機能的脳神経外科 : 日本定位・機能神経外科学会機関誌 = Functional neurosurgery : official journal of the Japan Society for Stereotactic and Functional Neurosurgery / 日本定位・機能神経外科学会事務局編. 2022. 61. 35-41
田中將貴, 柳澤琢史, 福間良平, 谷直樹, 押野悟, 三原雅史, 服部憲明, 梶山裕太, 橋本亮太, 池田学, et al. 脳磁図を用いたパーキンソン病の位相振幅カップリングの評価. 日本脳神経CI学会総会プログラム・抄録集. 2022. 45th

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Patents (4)：

Awards (1)：

2022/10 - The Nominees for 2022, Voluntary control of semantic neural representations by imagery with conflicting visual stimulation, The Annual BCI Research Award 2022.

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